Utilizing EEG and Eye-tracking Data:  Several previous works have explored EEG and eye-tracking features for analyzing human-information interaction tasks such as movie trailer analysis [1]}, diagnosis of mild Alzheimer's disease [2]} and hazard prediction [3]}. These studies concluded that isolated physiological signals miss out crucial information that are better perceived when combined together. [4]} studied the linguistic effects of co-registered eye movements and EEG neural activity in natural sentence reading and showed that such synchronized signals accurately represent lexical processing. This paper is the first attempt in utilizing synchronized EEG and eye-tracking signals for identifying forms of reading. Most prior works are handicapped by one or more of the following challenges when working with EEG and eye-tracking data either due to lack of requisite data or computational techniques. Our work can augment eye-tracking data for English-Chinese sight translation as done in [5]}.
